In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
We describe the evolution of a statistical survey design visual language from a standalone design-time modelling language into an environment supporting design, coordination, exec...
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
Obtaining representative and concise I/O workloads for the purpose of projecting the performance of storage systems remains a challenge due to the complex nature of I/O behaviors....
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...